About: Building fan coil electric consumption analysis with fuzzy approaches for fault detection and diagnosis

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://www.sciencedirect.com/science/article/pii/S1876610214034341
Description	In the building energy efficiency field, developing automatic and accurate fault detection and diagnosis methods is necessary in order to ensure optimal operations of systems and to save energy. In this paper first, fault detection analysis based on statistical methods where anomalies are detected through a comparison with neighborhood and averaged fault-free values and through a clustering technique is performed. Following the fault detection step, a fault diagnosis analysis based on fuzzy sets and fuzzy logic is implemented. Experimentation is carried out over a one day monitoring data set in December 2013 for the fan coil electric consumption of an actual office building located at ENEA `Casaccia’ Research Centre. Results show the effectiveness of proposed approaches in automatic detection and diagnosis of abnormal building fan coil electric consumption. In the building energy efficiency field, developing automatic and accurate fault detection and diagnosis methods is necessary in order to ensure optimal operations of systems and to save energy. In this paper first, fault detection analysis based on statistical methods where anomalies are detected through a comparison with neighborhood and averaged fault-free values and through a clustering technique is performed. Following the fault detection step, a fault diagnosis analysis based on fuzzy sets and fuzzy logic is implemented. Experimentation is carried out over a one day monitoring data set in December 2013 for the fan coil electric consumption of an actual office building located at ENEA `Casaccia’ Research Centre. Results show the effectiveness of proposed approaches in automatic detection and diagnosis of abnormal building fan coil electric consumption. (en)
Title	Building fan coil electric consumption analysis with fuzzy approaches for fault detection and diagnosis Building fan coil electric consumption analysis with fuzzy approaches for fault detection and diagnosis (en)
skos:prefLabel	Building fan coil electric consumption analysis with fuzzy approaches for fault detection and diagnosis Building fan coil electric consumption analysis with fuzzy approaches for fault detection and diagnosis (en)
skos:notation	RIV/68407700:21730/14:00226758!RIV15-MSM-21730___
http://linked.open...avai/riv/aktivita	I
http://linked.open...avai/riv/aktivity	I
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Macaš, Martin
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Český institut informatiky, robotiky a kybernetiky
http://linked.open...dnocenehoVysledku	5931
http://linked.open...ai/riv/idVysledku	RIV/68407700:21730/14:00226758
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	fan coils fault detection and diagnosis; fuzzy logic; abnormal building consumption; peak detection (en)
http://linked.open.../riv/klicoveSlovo	fuzzy logic peak detection abnormal building consumption fan coils fault detection and diagnosis
http://linked.open...ontrolniKodProRIV	[159BA8450883]
http://linked.open...v/mistoKonaniAkce	Cardiff
http://linked.open...i/riv/mistoVydani	Oxford
http://linked.open...i/riv/nazevZdroje	Energy Procedia - Proceedings of the 6th International Conference on Sustainability in Energy and Buildings
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	7 (xsd:int)
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Moretti, F. Macaš, Martin Capozzoli, A. Khan, I. Lauro, F. Panzieri, S. Pizzuti, S.
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-06-25 (xsd:date)
issn	1876-6102
number of pages	10 (xsd:int)
http://bibframe.org/vocab/doi	10.1016/j.egypro.2014.12.403
http://purl.org/ne...btex#hasPublisher	Elsevier
http://localhost/t...ganizacniJednotka	21730

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